Documentation of 'org.apache.commons.math.optimization.fitting.ParametricRealFunction' Java class
ParametricRealFunction
org.apache.commons.math.optimization.fitting

Interface ParametricRealFunction

  • All Known Implementing Classes:
    ParametricGaussianFunction


    public interface ParametricRealFunction
    An interface representing a real function that depends on one independent variable plus some extra parameters.
    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method and Description
      double[] gradient(double x, double[] parameters)
      Compute the gradient of the function with respect to its parameters.
      double value(double x, double[] parameters)
      Compute the value of the function.
    • Method Detail

      • value

        double value(double x,
                     double[] parameters)
              throws FunctionEvaluationException
        Compute the value of the function.
        Parameters:
        x - the point for which the function value should be computed
        parameters - function parameters
        Returns:
        the value
        Throws:
        FunctionEvaluationException - if the function evaluation fails
      • gradient

        double[] gradient(double x,
                          double[] parameters)
                   throws FunctionEvaluationException
        Compute the gradient of the function with respect to its parameters.
        Parameters:
        x - the point for which the function value should be computed
        parameters - function parameters
        Returns:
        the value
        Throws:
        FunctionEvaluationException - if the function evaluation fails

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